Artificial intelligence

Building trust and compliance into AI-enabled systems

Insights, resources, and advice on trustworthiness and compliance for AI designers and developers and organizations deploying or using AI systems.

As AI ushers in a new era of productivity and capabilities, it also poses new risks that must be managed in new ways. AI relies on data, which itself can change, leading to results which may be difficult to understand. AI is also ‘socio-technical’ and is affected by a complex and dynamic interplay of human behavioural and technical factors. DNV can help you develop the new risk approach that AI needs – both to ensure compliance with emerging regulations and to manage risks dynamically – to access the benefits of AI more rapidly, fully, and confidently.  

AI innovation aligned with societal needs requires the propagation of trust through all layers of organizations and society – like ripples of water
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Building trust in AI

What are the trust gaps to fill as the integration of AI becomes prevalent across industries

AI cyber
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Beyond words?

The possibilities, limitations, and risks of large language models

Trust in AI
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The Ecosystem of Trust (EoT)

An ecosystems approach to the identification of stakeholders and their trust needs when deploying autonomous technologies